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Microphase separation patterns in diblock copolymers on curved surfaces using a nonlocal Cahn-Hilliard equation

Overview of attention for article published in The European Physical Journal E, November 2015
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Title
Microphase separation patterns in diblock copolymers on curved surfaces using a nonlocal Cahn-Hilliard equation
Published in
The European Physical Journal E, November 2015
DOI 10.1140/epje/i2015-15117-1
Pubmed ID
Authors

Darae Jeong, Junseok Kim

Abstract

We investigate microphase separation patterns on curved surfaces in three-dimensional space by numerically solving a nonlocal Cahn-Hilliard equation for diblock copolymers. In our model, a curved surface is implicitly represented as the zero level set of a signed distance function. We employ a discrete narrow band grid that neighbors the curved surface. Using the closest point method, we apply a pseudo-Neumann boundary at the boundary of the computational domain. The boundary treatment allows us to replace the Laplace-Beltrami operator by the standard Laplacian operator. In particular, we can apply standard finite difference schemes in order to approximate the nonlocal Cahn-Hilliard equation in the discrete narrow band domain. We employ a type of unconditionally stable scheme, which was introduced by Eyre, and use the Jacobi iterative to solve the resulting implicit discrete system of equations. In addition, we use the minimum number of grid points for the discrete narrow band domain. Therefore, the algorithm is simple and fast. Numerous computational experiments are provided to study microphase separation patterns for diblock copolymers on curved surfaces in three-dimensional space.

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Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Professor 2 13%
Student > Bachelor 2 13%
Researcher 2 13%
Unknown 3 20%
Readers by discipline Count As %
Physics and Astronomy 3 20%
Mathematics 2 13%
Chemistry 2 13%
Materials Science 2 13%
Computer Science 1 7%
Other 1 7%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2015.
All research outputs
#18,961,244
of 23,498,099 outputs
Outputs from The European Physical Journal E
#485
of 650 outputs
Outputs of similar age
#282,433
of 389,891 outputs
Outputs of similar age from The European Physical Journal E
#11
of 17 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.